Coding · Meta AI

Llama 4 Scout 7B on HumanEval: score, rank and what it means

Llama 4 Scout 7B scores 61.2 on HumanEval, placing it #483 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
61.2
0–100 scale
Rank
#483
of 600
Percentile
20th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
35.6
points

Score distribution

The chart shows the top 10 models on HumanEval, with Llama 4 Scout 7B highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Llama 4 Scout 7B sits at #483 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 35.6 points. The median model in this index scores 77.4, which puts Llama 4 Scout 7B below the midpoint.

Meta AI models average 73.2 on this benchmark. Llama 4 Scout 7B is 12.0 points below that provider line, so it is a weaker result than the average Meta AI model.

Among small open-weight models, the average is 56.7. Llama 4 Scout 7B is 4.5 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 61.2 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $1.30 per million input tokens, Llama 4 Scout 7B is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-4 7B Microsoft 8192 $0.91 56.8
Seed-OSS 8B ByteDance 8192 $1.05 57.1
Yi-Large 8B 01.AI 32768 $0.88 56.1
Gemma 3 7B Google DeepMind 32768 $0.90 55.9
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Llama 3.3 Groq 7B Groq 16384 $1.01 56.7

Other benchmarks for Llama 4 Scout 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.3 484 19th
GPQA Diamond 53.9 483 20th
SWE-bench Verified 45.9 454 24th
MATH-500 61.4 449 25th
AIME 2025 53.1 433 28th
LiveCodeBench 51.3 435 28th
IFEval 70.5 449 25th
TruthfulQA 64.9 460 23th
HellaSwag 74.6 447 26th
MMMU 60.0 429 29th
Arena Elo 1265.6 468 22th

FAQ

What score does Llama 4 Scout 7B get on HumanEval?

Llama 4 Scout 7B scores 61.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Llama 4 Scout 7B rank on HumanEval?

It ranks #483 of 600 models, in the 20th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Llama 4 Scout 7B good at HumanEval?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the HumanEval score calculated?

HumanEval is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Llama 4 Scout 7B cost?

Llama 4 Scout 7B costs $1.30 per million input tokens and $5.58 per million output tokens.

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